Chronic Pancreatitis:
From Fibrosis to Function & Imaging
Chronic pancreatitis (CP) lacks a universally adopted imaging-driven classification system. This framework transforms imaging into structured, decision-grade outputs, enabling reproducible and transparent clinical guidance.
Created by Dr. Sharad Maheshwari MD - imagingsimplified@gmail.com
⚠️ The Clinical Gap
Clinicians think in terms of pain patterns, ductal obstruction, and functional loss. Radiologists report calcifications and atrophy without actionable synthesis. Result: Delayed interventions and inappropriate ERCP.
🎯 The DCPF Solution
The Deterministic Chronic Pancreatitis Framework integrates pathophysiology, multimodality imaging, and decision triggers to align radiology directly with intervention pathways.
The Two Dominant Phenotypes
CP is a continuum of injury resulting in structural damage. Identifying the specific morphologic pattern is critical, as it directly identifies the patient's primary pain driver and guides subsequent management.
Ductal Obstructive
- → Dilated main pancreatic duct (>5–7 mm)
- → Intraductal calculi present
- → Upstream gland changes
Parenchymal Fibrotic
- → Gland atrophy
- → Extensive fibrosis
- → Minimal or no duct dilatation
Modality Hierarchy & Strategy
No single modality answers all clinical questions. The DCPF strategy assigns specific roles to CT, MRI, EUS, and ERCP to build a comprehensive, actionable picture of the disease.
Relative diagnostic/therapeutic utility across CP features.
☢️ CT
StructuralPrimary tool for assessing structural destruction. Best for identifying calcifications and evaluating complications (pseudocysts, splenic vein thrombosis).
🧲 MRI + MRCP
Ductal AnatomyProvides the definitive ductal roadmap. Essential for identifying the "chain of lakes" appearance and planning interventions.
🔬 EUS
Early DiseaseUtilizes Rosemont criteria to detect early disease and subtle fibrosis. Limitation: Highly operator dependent.
🎥 ERCP
TherapeuticNot indicated as a primary diagnostic tool. Reserved strictly for therapeutic actions like stone extraction and stenting.
Modality-Specific Scoring Systems
Unlike acute pancreatitis, CP scoring is fragmented. Because the disease affects ducts and parenchyma at different rates, grading systems are strictly tied to specific imaging modalities.
Cambridge Classification
MRCP / ERCPThe gold standard for grading ductal severity.
- Grade 0 (Normal): Normal MPD & side branches.
- Grade 1 (Equivocal): Normal MPD; 1-2 abnormal side branches.
- Grade 2 (Mild): Normal MPD; ≥3 abnormal side branches.
- Grade 3 (Moderate): Abnormal MPD (irregular/dilated) + ≥3 abnormal side branches.
- Grade 4 (Severe): Grade 3 features plus large cavity (>10mm), macroscopic stones, or strictures.
Rosemont Criteria
EUSThe standard for early parenchymal detection.
- • Stones (A)
- • Honeycombing (A)
- • Lobularity (B)
- • Cysts
- • Dilated MPD
- • Strands/Margins
Functional Grading
Secretin-MRCPGrades exocrine reserve via fluid progression over 10 mins.
- Grade 0: Fluid reaches jejunum (Normal).
- Grade 1: Reaches 3rd portion of duodenum (Mild).
- Grade 2: Reaches 2nd portion of duodenum (Moderate).
- Grade 3: Confined to duodenal bulb (Severe impairment).
CT Descriptive Staging
CTNo eponymous scoring system exists. Graded descriptively: Early/Mild (often normal), Moderate (atrophy + mild dilation), and Severe (calcifications, severe atrophy, "chain of lakes").
M-ANNHEIM System
Clinical + ImagingThe most comprehensive severity index (0 to IV). It combines imaging morphology (Cambridge) with clinical pain requirements and functional exocrine/endocrine loss.
🧮 Interactive Scoring Calculators
Cambridge Classification Calculator
Intervention Pathways
This is where the DCPF differentiates. Radiological findings must directly trigger actionable clinical pathways. Explore the required imaging prerequisites for each intervention.
Extracorporeal Shock Wave Lithotripsy
Non-invasive fragmentation of obstructive ductal stones to facilitate clearance.
📌 Indications
- Large ductal stones (>5 mm)
- Obstructive duct physiology
📸 Imaging MUST Report
- → Precise stone size
- → Location (head vs. body)
- → Degree of duct dilatation
DSEA Decision Tree Engine
To enable transparent AI alignment (IRHAI), reports must capture structured data via the SM Protocol. Input the measurable radiological variables below to trigger deterministic clinical pathways, avoiding black-box predictions.
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